{"id":"https://openalex.org/W4200449352","doi":"https://doi.org/10.1109/embc46164.2021.9629588","title":"Data Gap Modeling in Continuous Glucose Monitoring Sensor Data","display_name":"Data Gap Modeling in Continuous Glucose Monitoring Sensor Data","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W4200449352","doi":"https://doi.org/10.1109/embc46164.2021.9629588","pmid":"https://pubmed.ncbi.nlm.nih.gov/34892190"},"language":"en","primary_location":{"id":"doi:10.1109/embc46164.2021.9629588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9629588","pdf_url":null,"source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Martina Drecogna","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Martina Drecogna","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Padova,Italy,35131"],"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Padova,Italy,35131","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Martina Vettoretti","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Martina Vettoretti","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Padova,Italy,35131"],"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Padova,Italy,35131","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Simone Del Favero","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Del Favero","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Padova,Italy,35131"],"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Padova,Italy,35131","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Andrea Facchinetti","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Facchinetti","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Padova,Italy,35131"],"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Padova,Italy,35131","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":null,"display_name":"Giovanni Sparacino","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Sparacino","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Padova,Italy,35131"],"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Padova,Italy,35131","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":1.9907,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8490566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2021","issue":null,"first_page":"4379","last_page":"4382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9387999773025513,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9387999773025513,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.003599999938160181,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11623","display_name":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","score":0.003000000026077032,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.46720001101493835},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4262000024318695},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.40709999203681946},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.38429999351501465},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.36899998784065247},{"id":"https://openalex.org/keywords/disconnection","display_name":"Disconnection","score":0.36039999127388},{"id":"https://openalex.org/keywords/continuous-monitoring","display_name":"Continuous monitoring","score":0.34700000286102295},{"id":"https://openalex.org/keywords/grouped-data","display_name":"Grouped data","score":0.33180001378059387},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.32739999890327454}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.46720001101493835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46399998664855957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4318000078201294},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4262000024318695},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.40709999203681946},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3644999861717224},{"id":"https://openalex.org/C2780371621","wikidata":"https://www.wikidata.org/wiki/Q3709910","display_name":"Disconnection","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C2776902269","wikidata":"https://www.wikidata.org/wiki/Q5165493","display_name":"Continuous monitoring","level":2,"score":0.34700000286102295},{"id":"https://openalex.org/C136336373","wikidata":"https://www.wikidata.org/wiki/Q5611303","display_name":"Grouped data","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3068000078201294},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.3034999966621399},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C2986379492","wikidata":"https://www.wikidata.org/wiki/Q1638492","display_name":"Continuous glucose monitoring","level":4,"score":0.2777000069618225},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.25110000371932983},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.25040000677108765}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015190","descriptor_name":"Blood Glucose Self-Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015190","descriptor_name":"Blood Glucose Self-Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015190","descriptor_name":"Blood Glucose Self-Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc46164.2021.9629588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9629588","pdf_url":null,"source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:34892190","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34892190","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:www.research.unipd.it:11577/3411551","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/9629588","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2275538291","https://openalex.org/W2747023271","https://openalex.org/W2807723223","https://openalex.org/W2980114199","https://openalex.org/W2993729518","https://openalex.org/W6743506489"],"related_works":[],"abstract_inverted_index":{"Continuous":[0],"glucose":[1,15],"monitoring":[2,119],"(CGM)":[3],"sensors":[4,7,42],"are":[5,19,71,144],"minimally-invasive":[6],"used":[8],"in":[9,57,178],"diabetes":[10,60],"therapy":[11],"to":[12,47,77,132],"monitor":[13],"interstitial":[14],"concentration.":[16],"The":[17],"measurements":[18],"collected":[20],"almost":[21],"continuously":[22],"(e.g.":[23],"every":[24],"5":[25],"min)":[26],"and":[27,53,121,149,171],"permit":[28],"the":[29,36,92,102,114,118,122,154,164,169,172],"detection":[30],"of":[31,73,87,104,109,174],"dangerous":[32],"hypo/hyperglycemic":[33],"episodes.":[34],"Modeling":[35],"various":[37],"error":[38],"components":[39],"affecting":[40],"CGM":[41],"is":[43,99],"very":[44],"important":[45],"(e.g.,":[46],"generate":[48],"realistic":[49],"scenarios":[50],"for":[51,111],"developing":[52],"testing":[54],"CGM-based":[55],"applications":[56],"type":[58],"1":[59],"simulators).":[61],"In":[62],"this":[63],"work":[64],"we":[65,126],"focus":[66],"on":[67],"data":[68,75,123,137,142,148,151,175],"gaps,":[69],"which":[70],"portions":[72],"missing":[74],"due":[76],"a":[78,81,128,157],"disconnection":[79],"or":[80],"temporary":[82],"sensor":[83,98],"error.":[84],"A":[85],"dataset":[86],"167":[88],"adults":[89],"monitored":[90],"with":[91,156],"Dexcom":[93],"(San":[94],"Diego,":[95],"CA)":[96],"G6":[97],"considered.":[100],"After":[101],"evaluation":[103],"some":[105],"statistics":[106,135],"(the":[107],"number":[108],"gaps":[110,143,176],"each":[112],"sensor,":[113],"gap":[115,124,138],"distribution":[116],"over":[117],"days":[120],"durations),":[125],"develop":[127],"two-state":[129],"Markov":[130],"model":[131,155,165],"describe":[133],"such":[134],"about":[136,141],"occurrence.":[139],"Statistics":[140],"compared":[145],"between":[146],"real":[147,179],"simulated":[150],"generated":[152],"by":[153],"Monte":[158],"Carlo":[159],"simulation.":[160],"Results":[161],"show":[162],"that":[163],"describes":[166],"quite":[167],"accurately":[168],"occurrence":[170],"duration":[173],"observed":[177],"data.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2021-12-31T00:00:00"}
